2 citations · 3 across the 12 of their papers we have counts for
13 papers
Throughput Maximization for MapReduce-Based Collaborative Computing over Energy-Harvesting Wireless Devices
Yuhang Li, Siqi Sun, Hongen Zheng +3
This paper studies resource allocation for MapReduce-based collaborative computing over heterogeneous wireless devices powered by renewable energy harvesting. We formulate a long-r…
Goodput Maximization for Large Language Model Edge Inference: A Two-Phase Maskable PPO Approach
Xiaojing Chen, Qi Zhang, Wei Ni +2
This paper presents a novel two-phase maskable proximal policy optimization (TP-MPPO) algorithm, which maximizes the system goodput counting request throughput with strict service…
Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective
Yuan Gao, Xinyi Wu, Jiang Jun +5
Acquiring channel state information (CSI) with manageable overhead has been essential to provide high-performance communication services, which is extremely challenging in the emer…
Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey
Xiaojing Chen, Haiqi Yu, Wei Ni +5
The rapid emergence of Large Language Models (LLMs) has catalyzed Agentic artificial intelligence (AI), autonomous systems integrating perception, reasoning, and action into closed…
A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications
Jihong Li, Shunqing Zhang, Tao Yu +7
Immersive communication, including emerging augmented reality, virtual reality, and holographic telepresence, has been identified as a key service for enabling next-generation wire…
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Yanzan Sun, Jiacheng Qiu, Guangjin Pan +4
Extended reality (XR), blending virtual and real worlds, is a key application of future networks. While AI advancements enhance XR capabilities, they also impose significant comput…
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
Xiaojing Chen, Zhenyuan Li, Wei Ni +5
Federated learning (FL) is a viable technique to train a shared machine learning model without sharing data. Hierarchical FL (HFL) system has yet to be studied regrading its multip…
IREE Oriented Green 6G Networks: A Radial Basis Function Based Approach
Tao Yu, Pengbo Huang, Shunqing Zhang +3
In order to provide design guidelines for energy efficient 6G networks, we propose a novel radial basis function (RBF) based optimization framework to maximize the integrated relat…
Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended Reality (XR) is an important service in the 5G network and in future 6G networks. In contrast to traditional video on demand services, real-time XR video is transmitted fr…
A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization
Yuan Ruihao, Huang Kaixuan, Zhang Shunqing
Because of the advantages of computation complexity compared with traditional localization algorithms, fingerprint based localization is getting increasing demand. Expanding the fi…
Quality of Experience Oriented Cross-layer Optimization for Real-time XR Video Transmission
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of beyond 5G and 6G networks. Real-time XR video transmission presents challenges in terms of data rate and delay. I…
Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this pa…
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization
Ruihao Yuan, Kaixuan Huang, Pan Yang +1
Indoor localization is getting increasing demands for various cutting-edged technologies, like Virtual/Augmented reality and smart home. Traditional model-based localization suffer…